SSSC´s Adaptive Neural Control

The aim of this paper is to present the control of a solid-state series compensator (SSSC) by a B-spline neural network (NN) in order to regulate the active power flow on a transmission line. Such control drives the phase of the series source to the desired value so as to achieve the reference power flow. Contrary to a Proportional-Integral (PI) conventional control with its trial-and-error tuning to meet different operating conditions, the B-spline NN control presents an adaptive performance. The exhibited results exemplify the appropriate possibilities of the proposed control.